Results from temperature preference experiments demonstrated that individual personality was consistent and repeatability. Individual preferred and maximum avoidance temperatures were significantly reduced in hypoxia compared to normoxia. Standard metabolic rate increased with temperature and body mass. Patterns of projected habitat change suggest the spatial extent of the current distribution of Carmine shiner would shift north with global warming. The understanding of habitat requirements and responses to climate will aid management and recovery efforts for this threatened species.Cite this dataset as: Enders, Eva. Data of: Carmine Shiner Conservation Physiology. Arctic and Aquatic Research Division, Fisheries and Oceans Canada, Winnipeg Manitoba. https://open.canada.ca/data/en/dataset/a6a606a4-8cdc-48e9-812c-7bdcd84840e7

Most of these events involved community evacuations, significant structural loss and/or involvement of a Ministry of Natural Resources (MNR) Emergency Response Officer. Events include those assigned to MNR by an Order-In-Council under the Emergency Management and Civil Protection Act as well as events where MNR provided requested emergency response assistance. These events fall into one of ten type categories: * dam failure * drought /low water * erosion * flood * forest fire * soil and bedrock instability * Petroleum Resource Center event * EMO requested assistance * continuity of operations event * other requested assistance This product requires the use of geographic information system (GIS) software.

Growing degree days (GDDs) are used to estimate the growth and development of plants and insects during the growing season. Growing Degree Day are computed by subtracting a base value temperature from the mean daily temperature and are assigned a value of zero if negative. Base temperatures are a point below which development does not occur for the organism in question. Growing Degree Day products are created for base 0, 5, 10 and 15 degrees Celsius.GDD values are only accumulated during the Growing Season, April 1 through October 31.

DEPRECATED: During a declared emergency event, this dataset will include the communities affected by Evacuation Order Orders and Alerts, which represents the populated communities and First Nations in the province, and their current evacuation status.

Monthly, seasonal and annual trends of daily minimum, mean and maximum surface air temperature change (degrees Celsius) based on homogenized station data (AHCCD) are available. Trends are calculated using the Theil-Sen method using the station’s full period of available data. The availability of temperature trends will vary by station; if more than 5 consecutive years are missing data or more than 10% of the data within the time series is missing, a trend was not calculated.

Minimum Temperature represents the lowest recorded temperature value (°C) at each location for a given time period. Time periods include the previous 24 hours and the previous 7 days from the available date where a climate day starts at 0600UTC.

Statistically downscaled multi-model ensembles of projected change (also known as anomalies) in minimum temperature (°C) are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Daily minimum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded minimum temperature dataset of Canada (ANUSPLIN) was used as the downscaling target. Projected change in minimum temperature (°C) is with respect to the reference period of 1986-2005. Seasonal and annual averages of projected minimum temperature change to 1986-2005 are provided. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the downscaled ensembles of minimum temperature change are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100. Twenty-year average changes in statistically downscaled mean minimum temperature (°C) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of downscaled CMIP5 climate models is provided. Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Statistically downscaled multi-model ensembles of projected change (also known as anomalies) in maximum temperature (°C) are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Daily maximum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded maximum temperature dataset of Canada (ANUSPLIN) was used as the downscaling target. Projected change in maximum temperature (°C) is with respect to the reference period of 1986-2005. Seasonal and annual averages of projected maximum temperature change to 1986-2005 are provided. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the downscaled ensembles of maximum temperature change are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100. Twenty-year average changes in statistically downscaled maximum temperature (°C) for four time periods (2021-2040; 2041-2060; 2061-2080; 2081-2100), with respect to the reference period of 1986-2005, for RCP2.6, RCP4.5 and RCP8.5 are also available in a range of formats. The median projected change across the ensemble of downscaled CMIP5 climate models is provided. Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Point layer of the registration points (centroids) of the evaluation units of the graphic matrix.**Collection context** Update provided by the evaluator or evaluation department.**Collection method** Computer-aided mapping.**Attributes*** `ID` (`integer`): Identifier* `ADM01A` (`varchar`): Municipality code* `SI0317A` (`smalldatetime`): Registration date* `SI0317B` (`integer`): Representation scale* `SI0317C` (`varchar`): Registration* `SI0317D` (`varchar`): Location* `SI0102C` (`varchar`): Section* `SI0103C` (`varchar`): Division* `UNIT_V` (`varchar`): Neighborhood unit* `NOTES` (`varchar`): Notes* `DATE_CREATION` (`smalldatetime`): Creation date* `DATE_MODIFICATION` (`smalldatetime`): Date of modification* `USER_MODIFICATION` (`varchar`): Modified byFor more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

A Rest Area is a developed roadside area for the use of the traveling public which must contain a washroom, and often has litter receptacles, picnic tables and other facilities. It is a Point feature